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Global Infectious Disease Surveillance and Case Tracking System for COVID-19: Development Study
Hsiu-An Lee1,2,3,4,5, Hsin-Hua Kung2,3,4,5, Yuarn-Jang Lee6
1Department of Computer Science and Information Engineering, Tamkang University, New Taipei, Taiwan.
JMIR Medical Informatics
|December 15, 2020
Summary
This study introduces a blockchain-based system using the International Patient Summary (IPS) for global infectious disease surveillance and case tracking, enhancing COVID-19 response and research collaboration.
Area of Science:
- Public Health and Epidemiology
- Health Informatics
- Blockchain Technology
Background:
- COVID-19 pandemic highlights critical needs for rapid global disease surveillance.
- Existing methods for tracking and reporting infectious diseases are slow and labor-intensive.
- Healthcare systems require effective data-sharing solutions to manage pandemic-related burdens.
Purpose of the Study:
- To design a global infectious disease surveillance and case tracking system.
- To facilitate the rapid detection and control of COVID-19.
- To improve data sharing among healthcare providers during global health crises.
Main Methods:
- Utilized the International Patient Summary (IPS) as a standardized electronic health record.
- Employed blockchain architecture for secure data encryption, validation, and exchange.
- Integrated Fast Healthcare Interoperability Resources (FHIR) for efficient data transfer.
- Deidentified patient data to ensure privacy.
Main Results:
- Developed a blockchain-based surveillance system for global COVID-19 data exchange.
- Enabled physicians to upload and receive verified IPS data for case studies.
- Implemented a Case Tracking module using blockchain for monitoring disease spread.
- Facilitated real-time data uploading and enhancement through an Open Application Programming Interface (API).
Conclusions:
- The developed system provides a robust platform for infectious disease surveillance, particularly for COVID-19.
- Enhances rapid response capabilities for health authorities against unknown diseases.
- Supports global research by enabling data analysis and facilitating collaboration on best practices and treatment outcomes.
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